-
computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
-
and hardware interfaces for LiDAR, inertial measurement units, RGB or stereo cameras, wheel odometry, survey-grade laser scanners, and additional sensing systems. Develop robust procedures for sensor
-
institutional clusters. Write robust Linux bash scripts and job submission scripts for SLURM and PBS environments, including multi-node GPU/CPU workflows, monitoring, restart, and post-processing pipelines
-
adaptive search strategies. Contribute to research in uncertainty quantification, surrogate modeling, and other methods that improve the robustness and reliability of AI-driven scientific applications
-
routines Automate image acquisition and analysis workflows for robust particle size distribution measurements and morphology assessment Develop live image analysis and beam control protocols that adapt